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Citation for this paper:

Kokelj, S.V., Tunnicliffe, J. Lacelle, D., Lantz, T.C., Chin, K.S. & Fraser, R. (2015).

Increased precipitation drives mega slump development and destabilization of

ice-rich permafrost terrain, northwestern Canada. Global and Planetary Change, 129,

56-68.

http://dx.doi.org/10.1016/j.gloplacha.2015.02.008

UVicSPACE: Research & Learning Repository

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Increased precipitation drives mega slump development and destabilization of

ice-rich permafrost terrain, northwestern Canada

S.V. Kokelj, J. Tunnicliffe, D. Lacelle, T.C. Lantz, K.S. Chin, R. Fraser

2015

Crown Copyright © 2015 Published by Elsevier B.V. This is an open access article

under the CC BY-NC-ND license (

http://creativecommons.org/licenses/by-nc-nd/4.0/

).

This article was originally published at:

http://dx.doi.org/10.1016/j.gloplacha.2015.02.008

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Increased precipitation drives mega slump development and

destabilization of ice-rich permafrost terrain, northwestern Canada

S.V. Kokelj

a,

, J. Tunnicliffe

b

, D. Lacelle

c

, T.C. Lantz

d

, K.S. Chin

e

, R. Fraser

f

a

Northwest Territories Geological Survey, Industry, Tourism and Investment, Government of the Northwest Territories, Yellowknife, NT Canada

bSchool of Environment, University of Auckland, Auckland, New Zealand c

Department of Geography, University of Ottawa, Ottawa, ON Canada

d

School of Environmental Studies, University of Victoria, Victoria, BC Canada

e

Cumulative Impact Monitoring Program, Environment and Natural Resources, Government of the Northwest Territories, Yellowknife, NT Canada

f

Canada Centre for Remote Sensing, Natural Resources Canada, Ottawa, ON Canada

a b s t r a c t

a r t i c l e i n f o

Article history: Received 19 August 2014

Received in revised form 15 February 2015 Accepted 22 February 2015

Available online 28 February 2015

Keywords: climate change ground ice landscape change mass wasting permafrost rainfall intensity thaw slump thermokarst

It is anticipated that an increase in rainfall will have significant impacts on the geomorphology of permafrost landscapes. Field observations, remote sensing and historical climate data were used to investigate the drivers, processes and feedbacks that perpetuate the growth of large retrogressive thaw slumps. These“mega slumps” (5–40 ha) are now common in formerly glaciated, fluvially incised, ice-cored terrain of the Peel Plateau, NW Canada. Individual thaw slumps can persist for decades and their enlargement due to ground ice thaw can dis-place up to 106m3of materials from slopes to valley bottoms reconfiguring slope morphology and drainage

net-works. Analysis of Landsat images (1985–2011) indicate that the number and size of active slumps and debris tongue deposits has increased significantly with the recent intensification of rainfall. The analyses of high resolu-tion climatic and photographic time-series for summers 2010 and 2012 shows strong linkages amongst temper-ature, precipitation and the downslope sedimentflux from active slumps. Ground ice thaw supplies meltwater and sediments to the slump scar zone and drives diurnal pulses of surficial flow. Coherence in the timing of down valley debris tongue deposition andfine-scaled observations of sediment flux indicate that heavy rainfall stimulates major massflow events. Evacuation of sediments from the slump scar zone can help to maintain a headwall of exposed ground ice, perpetuating slump growth and leading to larger disturbances. The develop-ment of debris tongue deposits divert streams and increase thermoerosion to initiate adjacent slumps. We con-clude that higher rainfall can intensify thaw slump activity and rapidly alter the slope-sediment cascade in regions of ice-cored glaciogenic deposits.

Crown Copyright © 2015 Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license

(http://creativecommons.org/licenses/by-nc-nd/4.0/).

1. Introduction

Increases in air temperature and precipitation at high latitudes have the potential to dramatically alter ice-rich permafrost landscapes. Late 20th Century climate warming has caused permafrost temperatures to increase (Romanovsky et al., 2010) and thermokarst activity to intensify

(Kokelj and Jorgenson, 2013). Numerical models of the cryosphere

energy balance that incorporate climate projections forecast the wide-spread degradation of near-surface permafrost over the next century

(Callaghan et al., 2011). Global circulation models also predict signi

fi-cant increases in high latitude precipitation and extreme rainfall events

(Walsh et al., 2011). A greater frequency and magnitude of rainfall

events can influence the geomorphic evolution of permafrost land-scapes by: i) increasing sensible heat transfer and the latent heat

content of soils, which may slow the freezeback of the active layer and cause the permafrost to warm (Kokelj et al., 2014); ii) increasing slope sediment and solute yields (Lewkowicz and Kokelj, 2002; Lafrenière

and Lamoureux, 2013); iii) accelerating thermoerosion, which can

cause gullying (Fortier et al., 2007) and river bank destabilization; and iv) increasing the potential of slope instability (McRoberts and

Morgenstern, 1974; Lewkowicz and Harris, 2005; Lacelle et al., 2010).

To date, very few process-oriented studies have documented the impacts of rainfall on slope stability and mass wasting in continuous permafrost terrain (Cogley and McCann, 1976; Lamoureux and Lafrenière, 2009).

Retrogressive thaw slumps are a common form of thermokarst in areas of ice-rich glaciogenic deposits, including the Peel Plateau of northwestern Canada (Figs. 1 and 2) (Lacelle et al., 2010; Brooker et

al., 2014). Active thaw slumps are comprised of an ice-rich headwall,

a low-angled scar zone consisting of thawed slurry and in some cases a periodically mobile tongue of debris that develops as the saturated materialsflow downslope (Fig. 2) (Burn and Lewkowicz, 1990). Sur-face energyfluxes, ground ice and headwall characteristics (size and ⁎ Corresponding author at: Northwest Territories Geological Survey, P.O. Box 1320,

Yellowknife, NT, X1A 2L9, Canada. Tel.: +1 867 765 6610. E-mail address:Steve_Kokelj@gov.nt.ca(S.V. Kokelj).

http://dx.doi.org/10.1016/j.gloplacha.2015.02.008

0921-8181/Crown Copyright © 2015 Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Contents lists available atScienceDirect

Global and Planetary Change

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orientation) control the headwall ablation rate (Lewkowicz, 1987;

Grom and Pollard, 2008; Lacelle et al., 2015) and gravity-drivenflows

move debris and meltwater to the base of the headwall. The thawed materials can be transported from the slump headwall by rill erosion, fluvial transport and shallow and deep-seated mass flows (Murton,

2001; Lacelle et al., 2010; Lantuit et al., 2012). Although these

process-es have received little attention in past invprocess-estigations, evacuation of debris from the slump scar zone is a key factor determining whether a slump remains active or stabilizes.

In the Peel Plateau region, high relief of thefluvially incised, ice-rich landscape provides sufficient transport gradient to evacuate slumped materials, promoting the development of large slumps and debris tongue deposits (Fig. 2) (Kokelj et al., 2013; Brooker et al., 2014). This terrain is similar to many otherfluvially incised, ice-cored, glaciogenic landscapes in North America (St-Onge and McMartin, 1999; Jorgenson

et al., 2008; Lakeman and England, 2012) and Siberia (Astakhov et al.,

1996; Alexanderson et al., 2002). As thaw slumps enlarge to several

hectares in area they tend to exhibit greater geomorphic complexity, in-cluding different modes of downslope sediment displacement, which operate across a range of temporal and spatial scales. The processes

and characteristics associated with these“mega slumps” include: (1) ex-posure of, and ablation of, large massive ice bodies, backwasting of the headwall by retrogressive failure and supply of sediments and meltwa-ter to a low-angled scar zone (Fig. 2); (2) evacuation of debris from the scar zone proceeding as a complex combination offluvial transport, intermittent mass wasting (gravitational collapse, slumps, torrents, debrisflow), and quasi-continuous fluidized mass flow (Lacelle et al.,

2010; Lantuit et al., 2012; Kokelj et al., 2013); (3) base-level erosion,

or evacuation of outlet detritus, (4) prolonged slump activity over de-cades producing disturbances that grow to tens of hectares area

(Brooker et al., 2014); and (5) valley-confined downstream aggradation

of debris derived from the scar zone, leading to cascading effects in-cluding development of debris dammed lakes and enhanced valley-side erosion (Fig. 2F, G).

There is growingfield evidence to suggest that slump activity has recently intensified across a range of Arctic landscapes (Lantuit and

Pollard, 2008; Lantz and Kokelj, 2008), but the linkages between climatic

drivers and development of larger slumps remains poorly understood

(Kokelj and Jorgenson, 2013). Our primary objectives are to determine

if thaw slumping has increased in the Peel Plateau region, and to

FM 2

Meteorological station

FM 3

1000 m

D1

H1

Dempster Creek

A)

B)

Fig. 1. Map showing Peel Plateau study region and 14 Landsat study plots where active slump and debris tongue surfaces were mapped. Inset A shows the location of the study area within NW Canada. Inset B shows slumps FM2 and FM3, the meteorological station and the white arrows show location and orientations of the monitoring cameras.

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investigate the processes and feedbacks that influence slump activity. To achieve ourfirst objective, we examined the linkages between air tem-perature, precipitation, and occurrence and activity of large slumps in the Peel Plateau using imagery from the Landsat archive (Fig. 1) and his-torical climate data. This regional component of our research was guided by the following hypotheses: (1) the upper size limit of thaw slumps and the geomorphic activity of these disturbed surfaces have recently increased; and (2) the evacuation of debris from the slump scar zone and the extents of debris tongue deposits have increased with summer rainfall.

In the second part of this paper, we usedfield observations and detailed monitoring of two particularly large slumps (FM2, FM3;

Figs. 1, 2) in the Stony Creek watershed to refine our model of thaw

slump mechanics. Specifically, we used time-lapse camera footage and

meteorological instrumentation to assess the effects of diurnal and syn-optic variables (radiativeflux, temperature, precipitation) on the rate, intensity and modes of debris evacuation from the slump scar zone. The results are summarized in a simple conceptual model that links temperature, precipitation and sediment transport with the perpetua-tion of slump activity and growth of larger disturbances.

2. Field setting

The study area is in the Peel Plateau of northwestern Canada (Fig. 1). By about 18,000 ka yr BP this region was covered by the Laurentide Ice sheet, which extended to the eastern slopes of the Richardson Mountains (Lacelle et al., 2013) up to an elevation of 750 m a.s.l. The Peel Plateau consists of glaciogenic materials, predominantly

0 100 200 Meters

1

2

1

3

4

5

6

7

A) FM2

G) H1

B) FM2

F) D1

C) FM3

04-08-2012 29-07-2012

D) FM3

E) FM3

*

*

Fig. 2. Thaw slumps in the Peel Plateau. A) Slump FM2 and debris tongue. The debris tongue is 1.5 km in length and total disturbed area in 2011 was about 38 ha. The asterisk indicates a debris dammed lake. B) The headwall of slump FM2 showing banded massive ice overlain by oxidized tills. This headwall is approximately 25 m high. C) Quickbird image from September, 2008 of thaw slump FM3, showing: 1) active scar area; 2) stable, vegetated scar; 3) debris tongue; 4) debris dammed pond; 5) diverted creek along valley side; 6) secondary thaw slumps; and 7) growth of debris tongue in summer 2010 and 2012. Dashed line indicates approximate location of the break in slope. D) Headwall, scar zone and upper debris tongue of slump FM3 prior to and E) following an extreme rainfall event (92 mm) from July 31–August 1, 2012. The July image (D) shows an actively ablating headwall, saturated soils in a low-angled scar zone and a rill system draining through debris tongue and (E) shows conditions during the massflow event. F) Thermoerosion of a formerly stable slope and secondary slump initiation at D1 resulting from the diversion of a small creek by a debris tongue in the foreground. G) Secondary slumps associated with the slump and debris tongue at H1. Secondary slumps are indicated by black arrows and a debris dammed pond is indicated by the asterisk.

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hummocky moraine (Duk-Rodkin and Hughes, 1992a,b), deposited along the retreating margins of the ice sheet to form a broad, gently eastward-sloping plateau with elevation ranging from 650 m in the Richardson Mountains to 100 m west of the Peel River, NWT (Catto, 1996). Deposits of similar glacial origin extend northward, at lower re-lief, through the Yukon coastal plain to Herschel Island and southward along the Mackenzie Mountains (Rampton, 1982; Fulton, 1995). The Peel Plateau consists of up to 60 m of glacial, glacio-fluvial, and glacio-lacustrine sediments, overlying lower Cretaceous marine shale and siltstone bedrock (Norris, 1984). Colluviated materials veneer the valley slopes and alluvial deposits occupy the valley bottoms (Duk-Rodkin and

Hughes, 1992a,b). The area is underlain by relatively warm (O’Neill

et al., 2015), ice-rich permafrost (Lacelle et al., 2015). The depth to the

base of permafrost is roughly 125 m (Mackay, 1967; Judge, 1973). Eastwardflowing streams from the Richardson Mountains have in-cised post-glacial valley networks that drain into the Peel River and the Mackenzie Delta (Fig. 1). The valleys are gently sloping in the high-lands and the relative relief increases eastward, where several streams have carved deep, V-shaped valleys through the glacial deposits and the underlying sedimentary bedrock. Ice-rich permafrost and significant valley relief (up to 350 m) favour thaw slump development, which is restricted to the glaciogenic deposits at elevations of less than about 750 m a.s.l. (Brooker et al., 2014; Lacelle et al., 2015). Sediment samples from three thaw slumps in Willow River watershed (Bjornson, 2003) and from a large slump in our study area (FM3) (Fig. 1) consisted mainly of silts and clays (ca. 80%) with sands and gravels composing the remainder. The liquid limit and plasticity of the Willow River samples averaged 35% and 20%, respectively (Bjornson, 2003).

The regional climate is continental, with long cold winters and short cool summers. The mean annual air temperature at Fort McPherson (1986–2010) is −6.8 °C (Environment Canada, 2012). Mean July temperature is 15 °C, and the coldest month, January, has a mean tem-perature of−27 °C. In the area, mean annual air temperatures have increased at a rate of 0.77 °C per decade since the 1970s, with the warming trend strongest for the winter months (Burn and Kokelj, 2009). Total annual precipitation at Fort McPherson (1986–2007) aver-ages 295 mm, with rainfall accounting for approximately half (148 mm)

(Environment Canada, 2012). Convective summer storms are common

and rainfall at Fort McPherson has increased in recent years (Fig. 3).

3. Methodology

3.1. Regional changes in the size distribution of thaw slumps

To evaluate trends in thaw slump activity and debris tongue de-velopment across the Peel Plateau we used Landsat satellite imagery acquired over the past 25 years. We characterized active slump and

debris tongue size in 2011 and between 1985–1990 in 14 intensively impacted study plots, each 100 km2(Fig. 1). Images from multiple

years were also used to investigate the progressive growth of debris tongues. Cloud free (b10%), summer season Landsat images dating from 1985 to 2011 were compiled from the Glovis website (http://

glovis.usgs.gov/) to produce a sequence of 8 to 14 images for each of

the 14 study plots. The reflectance of bare soils contrasts with vegetated surfaces so that large (~N0.8 ha or 3-by-3 pixels), geomorphically-active slump surfaces free of vegetation, and geomorphically-active debris tongues are readily identifiable on these Landsat images. Scar zones and debris tongue deposits were digitized as separate objects using ArcGIS10 to provide estimates of the area of active disturbance surface in 2011 and in the period from 1985–1990. Since the earliest, high quality images for two of the 14 study plots were from 1990, a total of seven slumps from two plots werefirst mapped in 1990 rather than in 1985. These seven features were grouped with 34 slumps from the other 12 study plots mapped with 1985 images. This grouped dataset (1985–1990) of active slump and debris tongue size was compared with disturbance areas derived from 2011 imagery. To test for significant differences in mean disturbance area between the late 1980’s and 2011 we used Welch’s two-sample t-test. The timing of debris tongue development was investigated by digitizing a subset of these deposits in every year that had available imagery.

3.2. Historical climate and precipitation data, Fort McPherson, N.W.T. To investigate linkages and feedbacks between hydroclimatic drivers and thaw slump activity, we compared trends in summer pre-cipitation (1986–2012) and air temperature indices (1986–2010) from the Fort McPherson weather station (Environment Canada, 2012) with the timing of slump and debris tongue development derived from the Landsat images. Our analysis of trends in temperature indices was constrained to 2010 due to limited availability of data. However, it was possible to combine historical daily rainfall from Environment Canada (1986–2010) with unpublished data from the Fort McPherson airport (2010–2012), extending the precipitation record to 2012.

We examined annual trends in total June-July precipitation, thawing degree days, and number of days with temperature above 20 °C. We tested for trends in the time-series using the Mann-Kendall test, robust to missing values and serial dependence (Hirsch et al., 1982). Patterns in extreme rainfall events were summarized by tallying the number of daily events exceeding 15 mm, 20 mm and 25 mm in each year of record.

3.3. Field monitoring of active slumps: sediment transport index (STI) To investigatefiner-scale temporal patterns in the intensity of downslope sediment transport from a thaw slump scar zone, photo-monitoring stations with automated trail cameras (®Reconyx) were established within two large thaw slumps in the Peel Plateau in 2010 and 2012. One slump (FM2) was monitored in 2010 and two slumps (FM2 and FM3) were monitored in 2012 (Figs. 1B and2). Each camera was mounted on a pipe anchored in the permafrost and positioned facing the slump headwall with a view of the scar zone debrisfield in the foreground. The cameras were programmed to take photographs at half hour intervals in 2010 and hourly intervals in 2012. We used two methods to derive indices of sediment transport activity and surface change using the photographic record. Through-out this paper we refer to these methods as: 1) the qualitative sedi-ment transport index (STIa) and 2) the automated sedisedi-ment transport index (STIb).

3.3.1. Sediment transport index a (STIa)

The photographic record was used to develop a semi-quantitative index of massflow activity. This method was based on categorical variables that were visually assessed while comparing successive 1915 1925 1935 1945 1955 1965 1975 1985 1995 2005 Year 0 40 80 120 160 200 240 Precipitation (mm)

Fig. 3. Total June‐July precipitation, at Fort McPherson, NWT. Mean rainfall for the entire period of record is indicated by the dashed line. The grey box indicates the time span covered by the available remote sensing data. (Environment Canada, 2012)

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photographs or sequences of several photographs. STIa was based on the following categories which were multiplied to give an hourly STI value.

STIa¼ Downslope movement  width of movement

 change in surface elevation ð1Þ (1) Downslope movement intensity: A score from 0 to 4 was assigned based on the relative rate of downslope movement

(Fig. 4B). A value of 0 indicated that the massflow was inactive

and 4 represented maximum rate of downslope movement, which approached 100 m hr−1, or the approximate length of mudflow run captured in the middle of the FM 2 image (Fig. 4). (2) Width of active massflow: A score from 1 to 4 was assigned

based on the width of the downslope massflow. A value of 1 was assigned when there was no movement and a value of 4 was recorded when the entire width of the massflow in the central part of the image was showing at least some type of movement downslope. Intermediate categories (2: 1–30%; 3: 30–90%) were assigned according to the proportion of the fea-ture’s width that was actively transporting material. The maxi-mum width of the activeflow captured in the middle of the frame for FM2 was approximately 100 m (Fig. 4).

(3) Change in surface elevation and plug-like movement: Surface lowering of the scar zone and active flow surface was also assessed. During the most intense periods of mass wasting, deeper-seated, plug-like movement of the materials could lead to mobilization and lowering of the entire massflow surface. A score from 1 to 4 was assigned based on the magnitude of this movement. A value of 1 indicated no surface lowering and a value of 4 indicated plug-likeflow and significant surface low-ering impacting the entire massflow surface. The proportion of

the disturbance that exhibited plug-like flow and surface lowering was used to assign intermediate categories (2: 1–30%; 3: 30–90%).

3.3.2. Sediment transport index b (STIb)

To support our qualitative index (STIa) for slump FM2 we developed an automated method to assess surface sediment movement within the camera’s field of view, using the compositing capabilities of the open-source software ImageMagick® (v.6.8) to carry out grayscale differencing from one frame to the next. By‘subtracting’ sequential raster images this process effectively highlights pixels where there have been changes in image brightness intensity to provide an index of surface change, and sediment transport activity (Fig. 4). The intensity of the differencing signal is a function of the total area undergoing surface change and the magnitude of transport activity. When large volumes of material are moving at high rates, differencing produces strongly contrasting images (Fig. 4C, D). A depth offield model for the camera’s position was developed by creating approximate contour eleva-tions of the slump, based on reference points from SPOT satellite imagery andfield photos from the site (Fig. 4A). The pixels from the subtracted photo sequence were then multiplied by a distance factor to approximate the area weighting of each pixel (Fig. 4D). Motion from the rear of the field of view could then be sensibly added to motion in the foreground. The area represented by each pixel increases with the square of distance from the camera. In order to account for this perspective distortion the differenced imagery was multiplied by a weighting function:

STIb¼ Diff  L 2

=

Lmax

2

 

ð2Þ where Diff = differencing intensity (0–255) and L is the modelled dis-tance from the camera to the point on the terrain. Lmaxis the maximum

Fig. 4. A) Approximated depth map showing contours of terrain distance from camera, based on a digital elevation model and remote sensing imagery of the study area, slump FM2; B) Tracked movement of a single block of material within the massflow, illustrating the variable velocity field for blocks of thaw slump detritus, July 5, 2010; C) Differencing intensity between two photos during a period of surficial fluvial reworking of the thaw slump surface materials; and D) Differencing map with distance weighting applied which provides more proportional representation of surface change in the rearfield of view.

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distance of geomorphic activity from the camera, 250 m in this case. For example, a pixel at 50 m was weighted at 0.04, one at 100 m was 0.16 and a pixel at the headwall (250 m) was weighted at 1.0. Using this tech-nique, it was possible to automatically log the intensity of surface activity across thefield of view (compareFig. 4C and D), although manual editing was required to eliminate the obscuring influence of precipitation and morning or evening shadows.

3.3.2. Hydroclimate and STIa

To explore the relationships between massflow and hydroclimatic drivers we examined correlations among STIa from slump FM2 and temperature and precipitation data from an automated meteorological station situated within 2 km of the two monitored slumps (Fig. 1B). The STIa was used in this analysis because the available record was longer than that generated by the automated method (STIb). However, the two time-series were significantly correlated (r2 = 0.45;

pb 0.0001) in 2010 as both captured similar diurnal and broader-scale temporal patterns in sediment movement. The meteorological station was established in June, 2010. Air temperature was measured using a YSI thermistor (44212) with a range from−50 °C to + 50 °C and an accuracy of ± 0.1 °C. Rainfall was measured with a tipping bucket rain gauge (TE525M) with an accuracy of ±1% at precipitation rates up to 10 mm hr-1, and an accuracy of ± 5% at rates from 20 to

30 mm hr-1. Net radiation was measured with a CNR2-L Net Radiometer

which has a temperature dependant sensitivity ofb5% from −10 °C to 40 °C. Meteorological data were logged at hourly intervals on a Camp-bell Scientific CR1000.

To explore the relationship between climate and sediment removal from the slump scar zone we used Spearman’s rank correlation to mea-sure covariance between STIa at FM2 and 1) total net radiation, 2) air temperature and 3) precipitation for 2010 and 2012. To determine if antecedent hydroclimate conditions influenced mass flow activity, we smoothed the climate data with back-cast running means of 0, 12, 24, 48 and 96 hours. Rainfall was smoothed using a running sum over the same back-looking window lengths. To examine if there were lags in the response of massflow activity, we temporally shifted hydroclimate data by 0, 12, 48, 96 and 192 hours. Correlations between all combina-tions of smoothed and lagged hydroclimatic parameters and STIa were examined and the strongest relations are highlighted. To estimate the magnitude of massflow activity before and after rainfall events, cumu-lative STIa, mean total net radiation and air temperature for 48 hour intervals preceding and following distinct rainfall events were also sum-marized. We only considered rainfall events greater than 10 mm that were preceded and followed by 48 hour periods with no rainfall (b2 mm). STIa before and after these rainfall events was compared using a paired t-test for 2010 and 2012 data. The STIa data for 2010 and 2012 were also summarized by three-week periods to investigate possible seasonal patterns in massflow intensity.

4. Results

4.1. Intensification of thaw slump activity and debris tongue development, 1985−90 to 2011

The size distribution and abundance of large, active thaw slumps and massflow surfaces shows a clear and pronounced increase from 1985–1990 to 2011 (Table 1;Figs. 5 and 6). The total number of large, geomorphically-active thaw slump surfaces visible on the 14 Landsat imagery study plots increased from 41 to 68 and the mean area increased significantly, from 3.8 ha in 1985–1990 to 9.9 ha in 2011

(Table 1;Fig. 5A). In 1985–1990 about 20% of the mapped slump

sur-faces were greater than 5.0 ha, but by 2011 approximately 60% of the ac-tive disturbance surfaces exceeded 5.0 ha and almost 20% were greater than 15 ha in area. Seven of the 41 features identified in 1985–1990 showed evidence of increased vegetation cover, suggesting that these slumps were stable or beginning to stabilize by 2011. The remainder

of the 34 slumps identified in 1985–1990 continued to enlarge through-out the period of record, and an equal number (34) of additional active slump surfaces could be identified on the 2011 imagery.

The number and size of active debris tongue deposits in our study plots also increased significantly over the period of record (Table 1;

Figs. 5B and6). In the 1985–1990 period, a total of 14 mass flows with

a mean area of 3.2 ha were identified downslope of slump scar zones. About half of the 68 slumps that were mapped in 2011 had clearly visible massflow deposits with an average area of 6.6 ha (Table 1). The largest debris tongue mapped in 1985–1990 was 9.9 ha. The deposit had grown to 26.2 ha by 2011 and it had prograded several km down the main trunk valley.

4.2. Temperature and precipitation trends, 1986–2012

The increase in size and number of active disturbance surfaces has occurred in conjunction with the intensification of rainfall recorded at Table 1

Summary statistics and Welch’s two sample t-test comparing total disturbance, scar zone and debris tongue areas between the 1985–1990 and 2011 periods. Data is derived from Landsat imagery from 14 study plots each 100 km2

in area. Minimum mappable distur-bance area is 0.81 ha.

Total disturbed area Scar zone area Debris tongue area

(ha) (ha) (ha)

1985–1990 2011 1985–1990 2011 1985–1990 2011 Mean 3.84 9.87 2.84 6.88 3.19 6.61 Median 2.06 5.67 2.04 5.11 1.95 4.33 STDev 3.75 11.19 2.37 6.61 2.88 6.23 Maximum 17.30 66.80 12.70 40.10 9.89 26.20 Minimum 0.87 0.94 0.87 0.94 0.95 1.15 Count 41 68 40 67 14 31 t; df 4.047; 89.302 4.482; 91.096 2.463; 42.846 Significance Pb 0.001 Pb 0.0001 P = 0.0178 3.9 4.1 4.3 4.5 4.7 4.9 5.1 5.3 5.5 5.7 5.9 6.1 log(Area in[ha]) log(Area in[ha]) 0 0.1 0.2 0.3 0.4 0.5 Frequency density 20 40 60 80 100

Cumulative disturbance area (%)

1985-1990 (N=14) 2011 (N=31) 1985-1990 Cumulative area (%) 2011 Cumulative area (%)

B)

3.9 4.1 4.3 4.5 4.7 4.9 5.1 5.3 5.5 5.7 5.9 6.1 0 0.2 0.4 0.6 0.8 1 20 40 60 80 100

Cumulative disturbance area (%)

1985-1990 (N=41) 2011 (N=68) 1985-1990 Cumulative area (%) 2011 Cumulative area (%)

A)

(disturbances per 100 km 2) (disturbances per 100 km 2) Frequency denstiy

Fig. 5. A) Active slump surface; and B) debris tongue frequency density distribution and cumulative disturbance area for 1985–1990 and 2011. Data were derived from digitizing slump and debris tongue surfaces using Landsat imagery from 14(100 km2

) study plots for the respective time periods. Disturbancesb0.81 ha were not mapped.

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Fort McPherson, NWT. Precipitation totals for June–July show that six of the ten wettest summers in an intermittent record extending back to 1915 have occurred since 1994, and 2010 and 2012 were the wettest two summers on record (Fig. 3). Climate data for the time period spanned by Landsat imagery (1985–2011) indicates a significant in-crease in total June–July rainfall (τ = 0.311, P b 0.05) and a large in-crease in the frequency and magnitude of extreme rainfall events beginning around 2005 (Fig. 7A, B). The past decade has experienced the topfive ranked daily rainfall events and the only ones to exceed 25 mm in the 1986–2012 period of record. These daily extremes include 40 mm and 64 mm events in 2010 and a 67 mm event in 2012. The gradual enlargement of several debris tongues rapidly accelerated after about 2005 and was coincident with an increase in the magnitude of rainfall events (Fig. 8). In contrast, the summer temperature related indices did not exhibit any significant trends during this period of in-creased slump and massflow activity (Fig. 7C, D).

4.3. Feedbacks between debris tongue deposition and development of secondary slumps

Ourfield observations show that the growth of debris tongues that extend from the slump scar into the downstream valleys frequently obstructed lateral tributaries (Fig. 2A, C, G). This valley-filling can raise

stream base-level at the confluence with the larger valley, leading to channel diversions and valley-side thermoerosion, exposure of ground ice and secondary thaw slump initiation (Fig. 2C, F, G). Between 1985 and 1990, 4 of the 41 active slump disturbance areas mapped in the study plots were a part of slump clusters that had developed around de-bris tongue deposits. Examination of the Landsat images from 1985 to 2011 revealed that the frequency of secondary slump occurrence closely followed the increased development of debris tongues (Fig. 9). On the 2011 Landsat images, well-developed secondary thaw slumps could be identified adjacent to 18 of the 31 debris tongue deposits visible on the study plots.

4.4. Slump descriptions and patterns in the sediment transport index, 2010 and 2012

4.4.1. Slump FM2, 2010 and 2012

In summer 2010 and 2012, thaw slump activity was monitored at FM2 (Fig. 1). At this site, intensive thaw slumping has exposed an ice-rich headwall about 1.4 km in length and between 3 and 25 m in height

(Figs. 1 and 2B). The scar zone and debris tongue extended several

hun-dreds of meters down a 3–10° slope. The disturbance has persisted, albeit as a much smaller, partially vegetated surface (Fig. 6), since at least 1954. By 2011 the scar zone and debris tongue had grown to 23.4 ha and

A) 1985

B) 2011

1000 m

N

B) 2011

1000 m

N

1000 m

N

FM2

FM3

FM2

FM2

FM3

Fig. 6. Landsat images of the Peel Plateau from A) 1985 and B) 2011. The images are displayed as Landsat Ch5‐Ch4‐Ch3 = RGB. Unvegetated areas with bare soils are visible as blue, purple and pink. Several large slumps and debris tongues evident on the 2011 image are indicated by arrows. Most of these disturbances are smaller, partially vegetated or not visible on the 1985 imagery. Anthropogenic disturbances (quarries and roadside turnout) are indicated by the black circles. The Dempster Highway is also visible on the southern edge of both images.

A)

0 400 800 1200

Thawing degree days

June-July 1985 19 8 7 19 8 9 19 9 1 19 9 3 199 5 19 9 7 1999 20 0 1 20 0 3 20 0 5 20 0 7 2009 20 11 20 1 3 Year 0 10 20 30 40 50 Number of days > 20°C June-July 0 50 100 150 200 Total precipitation (mm) June-July 0 1 2 3 4 Number of precipitation events Precipitation events >15mm Precipitation events >20mm Precipitation events >25mm

B)

C)

D)

Fig. 7. Trends in precipitation and summer temperatures, 1986–2012, Fort McPherson, Northwest Territories, Canada. A) Total June–July precipitation. B) Number of extreme daily precipitation events in June and July. C) Thawing degree days in June and July. D) Number of days in June and July with maximum temperature exceeding 20 °C. Least squares linear regression curves are shown for plots A, C and D. The Mann-Kendall test in-dicates that only A) total June-July precipitation shows a significant (increasing) trend for the period of record.

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14.6 ha, and the majority of the disturbance surface is now devoid of veg-etation due to intense massflow activity (Fig. 6).

Assuming that average headwall height has been at least 10 m, the growth of this slump has displaced well over 2,000,000 m3of ice-rich

permafrost substrate. Most of the sediments haveflowed downslope to form a debris tongue that has infilled the steep sided, V-shaped trunk valley (Figs. 2A,6 and 10). The deposit extends about 1.5 km down valley and varies in thickness from 3 m to more than 10 m. A tran-sient debris dammed lake developed upstream of this deposit, and has had an area of up to about 5 ha (Fig. 10). Fluvial incision of the debris tongue deposit has periodically caused the lake to drain, and reactiva-tion of the massflow has blocked the outlet, causing the lake to fill.

The downslopeflow of debris from slump FM2 during the extremely wet summer of 2010 exhibited both diurnal and multiday transport pulses indicated by patterns in STIa and STIb (Fig. 11A). In early June, the scar surface was mostly unsaturated and stable due to warm and dry spring conditions. This was followed by numerous medium to high intensity rainfall events, producing the wettest summer on record

(Figs. 3 and 7). For thefirst several weeks of the monitoring period, low

magnitude downslope sediment movement was characterized by

well-defined pulses of surface flow that lagged diurnal air temperature and net solar radiation peaks by several hours. Diurnal meltwaterflooding reworked the deposit surface by multi-threaded channels that carried slurries of mud and rafted debris (Fig. 4B). Some of the lofted blocks of material exceeded 3 m in diameter. On July 4, 2010, the relative magni-tude of downslope movements intensified with warm air temperatures and three consecutive days of rainfall totalling 18 mm (Fig. 11A). At peak STIa, the continuous movement of saturated debris extended across the entire 100 m width of the scar surface and maximum rates of downslope movement exceeded 50 m hr−1. The most intense periods of movement were associated with the mobilization and lowering of the entire deposit surface, implying relatively deep-seated, plug-like move-ment with materials likely sliding over underlying frozen ground. The diurnal patterns of surfaceflow remained discernable during periods of increased activity when movement continued throughout the 24 hour period. Massflow activity decreased on July 12, and by July 17 the intensity of movement was comparable with the low levels ob-served in early summer (Fig. 11A). This decline in the STIa and STIb oc-curred during the driest period (July 11 to July 22) of the 2010 summer. STI values increased significantly on July 25 following several days of in-tense rain and warm air temperatures, and remained high until the end of the monitoring period on August 12. A brief decline in transport activ-ity from August 7 to August 9 coincided with a period of lower air tem-peratures (b12 °C daily max). The final portion of the record captures a rapid mudflow event that swept across the field of view, depositing a mass of material that was gradually reworked within the larger deep-seated mass movement.

FM2 showed similar patterns of sediment transport during the summer of 2012, which was the second wettest summer on record at Fort McPherson (Fig. 3). Camera motion during windy conditions, and vigorous summer vegetation growth in the foreground of the images hampered deriving STIb for 2012, so descriptions here focus on STIa. A slight increase in the daily amplitude of surficial flows occurred with a steady rise in temperatures from June 13 to about June 22. Distinct spikes in STIa between June 25 and 27 followed minor rainfall events, butfluvial activity continued to track the diurnal temperature and solar radiation patterns. The amplitude of diurnal variation was low between June 28 and July 7 despite significant rainfall. This period likely preconditioned the slopes contributing to the major sediment transporting event on July 7–8, which occurred in association with more than 25 mm of rainfall during a 24 hour period (Fig. 11B). Another notable increase in STIa from July 15 to July 19 occurred during a period of slightly lower air temperatures that followed a 40 mm precipitation event. The latter part of July 2012 was characterized by two weeks of dry conditions, moderate air temperatures and lower STI values. Steadi-ly increasing air temperatures towards the end of JuSteadi-ly and a record 94 mm rainfall event on July 31st stimulated one of the most significant periods of activity in 2012. Although daily temperatures declined after July 31st, elevated rates of continuous massflow activity with strong diurnal pulses continued for several days. The persistence of warm and dry conditions from August 15, 2012 to the end of the monitoring record was associated with low STI characterized by diurnalflow pulses, similar to the conditions in early summer.

4.4.2. Slump FM3, 2012

Slump FM3 is characterized by a steep chute that connects a low-angle scar zone to the debris tongue and stream (Dempster Creek) in the valley bottom (Figs. 1B and2C–E). In 2012, the headwall was up to 10 m in height and the scar and debris tongue were 3.8 and 3.2 ha in area, respectively. At this slump a well-defined rill system conveyed meltwater runoff through the stable mass flow deposit (Figs. 2D and11C). Although there were several intense rainfall events in June and early July 2012, debris from the thawing headwall accumulated in the saturated scar zone. Then on August 3, following a 94 mm rainfall event from July 30–August 1, a surficial mud flow was initiated (Figs. 2E and11C). From August 3–6, deep-seated transport removed materials 0 4 8 12 16

Area (ha)

Year

0 20 40 60

Daily precipitation (mm)

19 85 19 87 19 89 19 91 19 93 19 95 1 99 7 19 9 9 20 01 2 00 3 2 00 5 20 07 20 09 20 11 20 13

A) Debris tongue area

B) June-July daily precipitation

Fig. 8. Debris tongue development and daily June–July precipitation in the Peel Plateau, 1985–2012. A) Debris tongue development was tracked by digitizing disturbance areas on Landsat images from 1985 to 2011. B) June–July daily precipitation at Fort McPherson from 1986 to 2012. Precipitation data is incomplete for 2008 and there are no data for 2009. Year 0 5 10 15 20 25 Number of observations 1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007 2009 2011 2013

Debris tongue deposits Secondary slumps

Fig. 9. Chart showing timing of secondary slump and debris tongue development. Data were derived from stacked sequences of Landsat imagery from 1985–2011.

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B)

A)

2010 debris tonguegrowth

*

*

Fig. 10. Quickbird images of slump FM2 from: A) September 2008, and; B) September 2010. Down valley enlargement of the massflow in 2010 is shown on B). Fieldwork in June and August, 2010 confirmed that mass flow enlargement observed between these two images occurred during summer 2010. The red * indicates the debris dammed lake.

0 20 40 60 80

Sediment transport index and air temperature (°C)

80 40 0 Daily precipitation (mm) 11/06/2010 15/06/2010 19/06/2010 23/06/2010 27/06/2010 01/07/2010 05/07/2010 09/07/2010 13/07/2010 17/07/2010 21/07/2010 25/07/2010 30/07/2010 03/08/2010 07/08/2010 11/08/2010 0 20 40 60

Sediment transport index

120 80 40 Daily precipitation (mm) 0 10 20 30 Air temperature (°C) 11/06/2012 15/06/2012 19/06/2012 23/06/2012 27/06/2012 01/07/2012 05/07/2012 09/07/2012 13/07/2012 17/07/2012 21/07/2012 25/07/2012 30/07/2012 03/08/2012 07/08/2012 11/08/2012 15/08/2012 19/08/2012 23/08/2012 0 20 40 60

Sediment transport index and air temperature (°C) 80

40 0 Daily precipitation (mm)

A) Slump FM2, 2010

B) Slump FM2, 2012

C) Slump FM3, 2012

Major mud flow events

Fluvial transport (meltwater) Major mud flow events Fluvial transport (meltwater) Fluvial transport (meltwater) Fluvial transport (meltwater) Major mud flow events

Meltwater and rainfall runoff channelized in rill

80 0

Fig. 11. Time series showing patterns in STIa (grey line), STIb (red line) air temperature (black) and precipitation (blue bars) at: A) FM2 in 2010; B) FM2 in 2012; and C) FM3 in 2012. The STI and temperature data are hourly and precipitation data are daily totals.

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from the scar zone. This movement was followed by less intense sur fi-cialflow lasting for three days. Ridge development on the lateral edge of theflow and the convex nature of the debris tongue surface indi-cate that the mass movement was rapid. Minor surfaceflow events continued to occur sporadically between August 15 and the end of the 2012 monitoring period (Fig. 11C).

4.5. Climate and downslope sedimentflux, 2010 and 2012

The summers of 2010 and 2012 were both exceptionally wet. The monitored disturbances experienced significant downslope movement of slumped materials by diurnal, meltwater-drivenflows, and periodic deeper-seated mass movements linked to rainfall events that resulted in debris tongue enlargement. The 2010 precipitation total for June– July at Fort McPherson was 201 mm, which exceeded the historical mean by 135 mm (Fig. 3), but the air temperature indices were average

(Fig. 7C, D). From June 10 to August 9, 2010, the automated climate

sta-tion on the Peel Plateau recorded 16 days of rainfall exceeding 10 mm. The frequent rainfall in 2010 contributed to intense mass wasting, in-cluding sediment transport by pulses offloodwater, and periods of con-tinuous, deeper-seated massflows (Fig. 11A). This activity resulted in the net removal of sediment and surface lowering of the FM2 slump scar zone (Fig. 12), and approximately 500 m of down valley debris tongue enlargement (Fig. 10). Quickbird imagery andfield reconnais-sance confirmed that the debris tongue at slump FM3 was also active and grew approximately 200 m down valley (Fig. 2C). In 2010, there was no significant difference in cumulative 48 hour STIa before and after rainfall, but 48 hour cumulative STIa was elevated following rain-fall events on June 25, July 8 and July 28 (Fig. 11A;Table 2). In 2010, sediment transport was highly correlated with variations in hourly air temperature and the smoothed and lagged data suggesting the im-portance of diurnal and multiday temperature trends in driving meltwater-induced downslope sediment transport (Table 3). STIa was also positively associated with precipitation, but the strongest positive correlations were restricted to precipitation data that was smoothed and lagged at 48 and 96 hour time intervals (Table 3). There was a pro-gressive increase in mean three week STIa through the summer

(Table 4).

Summer rainfall in 2012 was also exceptionally high and air temper-atures were warmer than 2010 (Fig. 7;Table 4). There were fewer rainy days than in 2010, but several of the precipitation events in 2012 were of extreme magnitude (Fig. 11B). Eight daily rainfall totals exceeded 10 mm, although more than one third of the total precipitation in 2012 fell between July 31 and August 1 (Fig. 11B, C). Mean air temper-ature and total net radiation were greater in 2012 than in 2010

(Table 4) and there were several periods of up to two weeks in duration

with little or no precipitation and low magnitude diurnal pulses of sed-imentflow (Fig. 11B). The 94 mm rainfall event on July 31, 2012 result-ed in a significant increase in mass flow activity at slump FM2 and stimulated the only period of massflow at slump FM3 (Fig. 11B, C). In

2012, cumulative 48 hour STIa at FM2 was two times greater following rainfall than during the preceding dry periods (Table 2). In 2012 there were significant positive correlations between STIa and antecedent pre-cipitation and air temperature, but overall the strength of the correla-tions with temperature was much weaker than in 2010. The strongest correlations in 2012 involved the rainfall data smoothed over a 96 hour window length and lagged from 0 to 24 hours (Table 3). The strongest positive correlations between 2012 STIa and air temperature were for data smoothed at 24, 48 and 96 hour window lengths.

5. Discussion

5.1. Recent increase in size and frequency of thaw slumps linked to intensification of rainfall

We observed the development of remarkably large thaw slumps on the Peel Plateau that was associated with the progressive thawing of ice-rich permafrost (Fig. 2) (Kokelj et al., 2013; Lacelle et al., 2015). A major increase in number and size of active slumps and debris tongues over the past three decades (Figs. 5 and 6;Table 1) indicate that pro-cesses and feedbacks that lead to slump perpetuation have intensified. The acceleration of geomorphic activity has been a recent, regional phe-nomenon that has occurred with increasing rainfall and no trend in in-dices of summer air temperature or the occurrence of large-scale landscape disturbance such asfire (Figs. 7 and 8). The development of large debris tongues and an increase in bare slump surfaces suggests

09-06-2010 11-08-2010

A)

B)

Fig. 12. Headwall, scar zone and upper massflow of slump FM2 on: A) June 09, 2010, and; B) August 11, 2010. Comparison of the photographs taken from a fixed position shows a lowering of the scar zone following extreme precipitation during summer 2010.

Table 2

Mean air temperatures and cumulative STIa, 48 hours pre and post rainfall events for 2010 and 2012. Paired t-test was used to compare differences in pre vs. post STIa for 2010 and 2012. Significant differences are indicated in bold.

Date Event rainfall (mm) Pre-event temp (°C) Post-rain temp (°C) Pre-rain STIa Post-rain STIa Summer 2010 12/6/2010 50 18.4 8.2 68 64 25/6/2010 10.2 11.18 9.65 78 106 8/7/2010 10.1 14.73 15.82 644 932 23/7/2010 13.3 15.34 12.3 223 212 28/7/2010 14.4 18.16 14.63 626 760 7/8/2010 25.2 19.74 10.18 660 260 Cumulative STIa 2299 2334 Mean 20.53 16.26 11.80 383 389 STDev 15.46 3.14 2.99 290 365 Summer 2012 12/6/2012 12 10.35 8.21 44 89 2/7/2012 13.8 16.43 13.89 163 200 9/7/2012 30.8 18.86 10.52 131 337 16/7/2012 56.7 17.8 13.03 371 758 31/7/2012 94.3 22.28 14.48 508 774 Cumulative STIa 1217 2158 Mean 41.52 17.14 12.03 243 432 STDev 34.54 4.37 2.61 190 318

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that moisture supplied by rainfall has accelerated scar zone sediment flux (Figs. 8 and 10B), perpetuating slump growth and favouring the de-velopment of mega slumps now common on the landscape.

5.2. Patterns and drivers of slump sedimentflux

Ourfine-scale observations of two slumps indicate that radiation, temperature and precipitation influence diurnal and multiday varia-tions in downslope sediment transport. Temperature-driven ground-ice thaw contributes to diurnal and multiday surface sedimentflow pulses, leading to strong correlations between STI and air temperature

(Fig. 11A;Table 3). At slump FM2, the threshold for sediment

mobiliza-tion and downslopeflow was exceeded on a daily basis as meltwater from the large massive-ice exposure (Fig. 2B) saturated soils, raising pore-water pressures and causing materials on the gently sloping scar zone to lose cohesion and become entrained (Takahashi, 1981; Costa, 1984). These diurnal meltwater patterns are also evident in runoff, sediment and solutefluxes in streams and rivers below large thaw slumps (Kokelj et al., 2013; Malone et al., 2013).

Intense or prolonged rainfall is a strong driver of lower frequency, high magnitude massflow events, which drive debris tongue develop-ment (Figs. 6, 8, 10 and 11;Table 2). Ground ice melt maintains high scar-soil moisture levels so that additional water periodically supplied by rainfall can produce episodes of deep-seated,fluidized mass flow when the slump scar zone reaches a critical threshold of saturation

(Figs. 2D, E and11). Accumulated materials supplied by thawing

ground ice, slumping, toppling and intermittent translational failures are moderately reworked by diurnal meltwater-inducedflows. These materials can be evacuated from the scar zone by the larger, deeper-seatedflows that occur at a delayed interval – as much as three days– following major precipitation inputs (Fig. 11A, B, C;Table 2− 2012). The intensity of these majorflow events typically diminishes over the course of several days (Fig. 11). The relative magnitude of downslope sediment transport estimated from field observations suggests that most of the annual sedimentflux and debris tongue development can be attributed to the low frequency, high magnitude massflows.

In 2010, record rainfall was associated with the complete reworking of scar zone materials and major massflow events at several thaw slumps (Figs. 8, 10 and 11A). Frequent rainfall maintained scar zone slopes and debris tongues in a saturated state, contributing to the over-all high rates of downslope sediment movement, the net removal of de-bris and surface lowering of the scar zone at slump FM2 (Fig. 12) and down valley growth of numerous debris tongues (Figs. 8, 10 and 11). The cumulative effects of several closely spaced rainfall events and the lag in mudflow response likely obscured the geomorphic responses of individual rainfall events in 2010 (Fig. 11A;Table 2).

The importance of high magnitude rainfall events as a driver of major massflow activity was confirmed by data from summer 2012 when more than two thirds of the rainfall occurred during three high in-tensity events (Fig. 11B, C). During hot, dry periods, ground ice ablation from the large slump headwalls supplied sufficient moisture to drive di-urnal pulses in water, solute and sedimentflux (Kokelj et al., 2013), and low magnitude surficial flows. Significant increases in mass flow at Table 3

Spearman rank correlations between hourly STIa and climate indices for 2010 and 2012. Correlations are between STIa and back-looking cumulative precipitation and running means for net radiation, and air temperature. Smoothed data was based on back looking window lengths (WL) of 12, 24, 48 and 96 hours. The data were also lagged by (Lag) 0, 12, 24, 48, 96 and 192 hour intervals. Three strongest correlations between STIa and each parameter for 2010 and 2012 are indicated in bold. All relationships in bold are significant at P b 0.001.

Data 2010 2012

(Raw and manipulated) Precip_STIa ATemp_STIa NetRad_STIa Precip_STIa ATemp_STIa NetRad_STIa

Precipitation –0.1213 - - -0.0132 - -Air temperature - 0.4659 - - 0.0786 -Net radiation - - 0.0746 - - 0.1128 WL_Lag_12_0 −0.1273 0.4692 0.1505 0.0180 0.0156 0.1038 WL_Lag_12_12 −0.1192 0.4439 −0.0407 0.1636 0.0074 −0.0886 WL_Lag_12_24 −0.1013 0.4395 0.1848 0.1409 0.0505 0.0843 WL_Lag_12_48 0.0352 0.3315 0.0839 0.0426 0.1795 0.0774 WL_Lag_12_96 0.0919 0.4105 0.1269 −0.1063 0.1560 0.0877 WL_Lag_12_192 0.0643 0.3283 0.0420 0.1251 0.0324 0.0985 WL_Lag_24_0 −0.1245 0.5029 0.1147 0.1007 0.0043 0.0280 WL_Lag_24_12 −0.1071 0.4890 0.1629 0.1874 0.0235 0.0073 WL_Lag_24_24 −0.0507 0.4270 0.1530 0.1085 0.0599 0.0070 WL_Lag_24_48 0.0564 0.3631 −0.0265 0.0500 0.1968 0.0255 WL_Lag_24_96 0.0967 0.4565 0.0425 −0.0673 0.1645 0.0271 WL_Lag_24_192 0.0222 0.3498 −0.1630 0.1751 0.0308 0.0284 WL_Lag_48_0 −0.0767 0.5075 0.1795 0.1374 0.0427 0.0248 WL_Lag_48_12 −0.0353 0.4609 0.1301 0.1441 0.0847 0.0058 WL_Lag_48_24 0.0078 0.4272 0.0789 0.1135 0.1483 0.0198 WL_Lag_48_48 0.1557 0.4454 0.0587 0.0513 0.2152 0.0711 WL_Lag_48_96 0.1711 0.5137 0.0678 0.0286 0.0916 −0.0212 WL_Lag_48_192 −0.0133 0.3229 −0.0847 0.1441 0.0643 0.0035 WL_Lag_96_0 −0.0059 0.5440 0.1537 0.2377 0.1532 0.0808 WL_Lag_96_12 0.0785 0.5192 0.1284 0.2418 0.1743 0.0774 WL_Lag_96_24 0.1401 0.5065 0.1017 0.2080 0.1986 0.0846 WL_Lag_96_48 0.2228 0.5119 0.0391 0.1535 0.1895 0.0607 WL_Lag_96_96 0.3074 0.5107 −0.0449 0.1301 0.0899 −0.0548 WL_Lag_96_192 0.0034 0.1889 −0.2942 0.0882 0.0931 0.0726 Table 4

Mean STIa, hourly net radiation and hourly air temperature for 3 week periods in 2010 and 2012. Standard deviation is shown in brackets.

Seasonal prog. N (days) Mean STIa Mean hourly Net Rad (W/m2 ) Mean hourly Air temp (°C) Summer 2010 Jun 12–July 1 22 2.00 (0.1) 145.7 (7.9) 10.1 (0.20) July 2–July 22 21 10.08 (0.39) 134.5 (7.5) 13.5 (0.20) July 23–Aug. 12 20.5 12.46 (0.36) 116.3 (7.0) 15.1 (0.18) Summer 2012 Jun 12–July 1 22 4.04 (0.17) 196.1 (9.5) 15.16 (0.26) July 2–July 22 21 7.90 (0.30) 135.7 (7.4) 14.55 (0.17) July 23–Aug. 12 21 8.80 (0.26) 132.9 (7.9) 15.05 (0.22) Aug. 13–Aug. 26 13.3 3.74 (0.12) 105.0 (9.2) 14.66 (0.17)

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slump FM2 occurred following major rainfall events of 30 mm, 42 mm and 94 mm, respectively (Fig. 11B;Table 2) and the largest rainfall event stimulated the only mass flow activity at FM3 (Figs. 2E and11C). The strong correlations between smoothed and lagged pre-cipitation with STIa (Table 3) suggests that antecedent and cumulative rainfall is an important driver of the magnitude of surficial flows, as well as the occurrence of low frequency, deep-seated movements. 5.3. Acceleration of massflow activity perpetuates slump growth leading to larger thaw slumps

The rate and magnitude of sediment transport away from the slump headwall can determine the growth trajectory of a slump. Scar zone sedimentflux is influenced by slope, and the sediment and ground ice characteristics of thawing permafrost, giving rise to differences in the growth characteristics of individual disturbances

(Fig. 11B, C), and to contrasts in thaw slumps among regions. It is

with-in this geomorphic context that climatic drivers can amplify or dimwith-in- dimin-ish the rates and magnitude of sediment evacuation from the slump scar zones, and thereby influence temporal trends in the activity and size of thaw slumps. An increase in the abundance and size of debris tongue deposits (Figs. 5B and8) indicates an intensification of down-slope sedimentflux. Our observations strongly suggest that this pro-cess has been driven by the recent increase in the frequency and magnitude of rainfall events (Figs. 7, 8 and 11C).

A conceptual model based on ourfield observations illustrates how an increase in the rate and magnitude of scar zone sedimentflux perpet-uates slump activity and leads to the development of larger thaw slumps (Fig. 13). The upslope growth potential (d1) of an active thaw

slump is related to headwall height (h), ice content of permafrost (Gi), slope of the undisturbed terrain (b-90°) and rate at which debris sup-plied by ground ice ablation are removed from the toe of the headwall by mass wasting or surface wash (mf1). General behaviour of the mass

flow (mf) is controlled by factors such as sediment texture and slope, which may be considered invariant at our timescale of interest. Tempo-ral variation in the rates and magnitude of scar zone sedimentflux is largely driven by soil moisture which is supplied to the scar zone by diurnal ground ice thaw, and by lower frequency rainfall inputs. Our data strongly support the idea that intensification of the rainfall re-gime has increased the frequency and magnitude of major massflows (mf2) and size of downslope debris tongue deposits (Vf2). Evacuation

of sediments from the slump scar zone can help maintain an exposed headwall and increase the upslope growth potential and longevity of

the slump (d2N d1). The maintenance of larger slump headwalls also

in-tensifies slump activity by increasing rates of retreat (Lacelle et al., 2015), sediment availability and diurnal meltwater contributions. Re-gional intensification of these processes and feedbacks will perpetuate slump activity resulting in a population of larger disturbances, signi fi-cant modification of local slopes, enhanced supply of sediments and solutes to downstream environments (Lantuit et al., 2012; Kokelj

et al., 2013; Malone et al., 2013) and long-lasting impacts to terrestrial

and aquatic ecosystems (Lantz et al., 2009; Mesquita et al., 2010;

Thienpont et al., 2013).

6. Conclusions

Based on the analyses and interpretation of ourfield data we draw the following conclusions:

(1). In the Peel Plateau region, a major increase in number and size of active slump surfaces and debris tongue deposits since the mid-1980s have occurred in concert with a significant increase in the magnitude and intensity of rainfall. There is no trend in sum-mer temperature indices (1986–2010) further supporting the idea that the regional acceleration in thaw slump activity has been driven primarily by increased rainfall.

(2). Air temperature and precipitation interact to influence the mois-ture regime of slump soils, driving downslope sediment trans-port from the slump scar zone and debris tongue enlargement. Diurnal pulses in sedimentflux indicate that meltwater from thawing ground ice can induce high frequency, low magnitude surficial-sediment flow. Strong relationships between air tem-perature andflow events were observed at diurnal and multiday scales in summer of 2010 when frequent rainfall maintained slopes in a saturated condition.

(3). Rainfall can elevate scar zone soil moisture conditions, reducing soil strength and stimulating major massflows. These lower-frequency high magnitude flows evacuate sediments that would otherwise accumulate in the slump scar zone. The acceler-ation of scar zone sedimentflux can help maintain a headwall of exposed ground ice and inhibit slump stabilization. This process can perpetuate slump growth leading to the develop-ment of larger thaw slumps and debris tongue deposits. Feed-backs resulting in changes to stream base-level can enhance valley-side erosion and initiate additional slumping on adjacent slopes.

Fig. 13. Conceptual model illustrating the impact of increased massflow activity (mf) and removal of materials from the slump headwall on development of valley debris tongue deposits (Vf) and upslope growth potential of the slump (d). h indicates headwall height at a given point in time and Gi is ground ice content and b-90° is the approximate slope of the undisturbed terrain. Upslope growth potential of the slump (d) is constrained by h, Gi and b-90°. This relationship can be modified by varying mf. An increase in mf (mf2) will maintain greater headwall

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(4). Intensification of rainfall regimes can rapidly destabilize ice-rich,fluvially incised, moraine dominated landscapes. These geomorphically-sensitive permafrost environments are suscep-tible to thaw slumping, occur across the circumpolar North and constitute major sediment sources for many rivers and coastal zones. The development of larger slumps can have significant and enduring consequences on slope andfluvial geomorphology, and downstream ecosystems.

Acknowledgements

This work was supported by the NWT Cumulative Impact Moni-toring Program, the Aurora Research Institute and the NWT Geoscience Office, Government of the Northwest Territories, by Natural Sciences and Engineering Research Council of Canada grants to D. Lacelle and T. Lantz, and by the Polar Continental Shelf Project. Institutional support from the Gwich’in Tribal Council, Gwich’in Renewable Resources Board and the Tetlit Gwich’in Renewable Resources Council is gratefully acknowledged. We thank Shawne Kokelj and Meg McCluskie from Water Research and Studies, Environment and Natural Resources, Government of the Northwest Territories for supplying data from the Peel Plateau Meteorological Station. The authors thank Kyle Rentmeister from the NWT Centre for Geomatics for the GIS work. Jaya Bastedo, Steven Tetlichi, Clifford Vaneltsi, Gina Vaneltsi and Billy Wilson supplied criticalfield and logistical support. We thank Larry Flysak, Environment Canada, for timely provision of unpublished Fort McPherson Airport precipitation data. Comments by two anonymous reviewers have improved the clarity of this manuscript. NWT Geosci-ence contribution 87.

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